One-year mortality of patients with ST-Elevation myocardial infarction: Prognostic impact of creatinine-based equations to estimate glomerular filtration rate

Prognostic value of glomerular function estimated by Cockcroft-Gault creatinine clearance, MDRD-4, CKD-EPI and European Kidney Function Consortium equations in patients with acute coronary syndromes

BACKGROUND

It remains unknown which equation used to assess the glomerular function is better for risk stratification in patients with acute coronary syndrome (ACS).

METHODS

This study included 3985 patients with ACS. Glomerular function was assessed using 4 equations: the Cockcroft-Gault creatinine clearance (C-G_CrCl), Modification of Diet in Renal Disease-4 (MDRD-4), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and European Kidney Function Consortium (EKFC) equations. The primary outcome was one-year all-cause mortality.

RESULTS

For each 30 ml/min decrement, the adjusted hazard ratio [HR] with 95% confidence interval [CI] for one-year mortality was 1.67 [1.27-2.25] for C-G_CrCl, 1.45 [1.16-1.81] for MDRD-4, 1.76 [1.35-2.30] for CKD-EPI and 1.94 [1.44-2.63] for EKFC equation. Area under the receiver operating characteristic curve (AUC) for one-year mortality was 0.748 [0.709-0.788] for C-G_CrCl, 0.670 [0.621-0.718] for estimated glomerular filtration rate (eGFR) calculated by MDRD-4 equation, 0.725 [0.684-0.765] for eGFR calculated by CKD-EPI equation and 0.741 [0.703-0.779] for eGFR calculated by EKFC equation (P = 0.342 for C-G_CrCl, vs. EKFC equation and P ≤ 0.009 for all other AUC comparisons).

CONCLUSIONS

In patients with ACS, C-G_CrCl and EKFC equations showed a similar discriminatory power regarding prediction of one-year mortality. Both equations were better than MDRD-4 and CKD-EPI equations for risk discrimination for mortality.

CLINICAL TRIAL REGISTRATION

NCT01944800.

Predictive Value of Creatinine-based Equations of Kidney Function in the Long-term Prognosis in United Arab Emirates Patients

Objectives

Chronic kidney disease (CKD) is an independent predictor of mortality. Several creatinine-based equations are used to assess the estimated glomerular filtration rate or creatinine clearance and mortality prediction in various ethnic populations. Similarly, renal insufficiency is associated with poor prognosis of UAE nationals with cardiovascular disease (CVD) risk factors. However, the equation that best assesses prognosis among these patients is unknown. This study aimed to compare the prognostic abilities of different creatinine-based kidney function equations for predicting all-cause mortality in UAE nationals with vascular comorbidities.

Methods

This retrospective observational study analyzed 1186 patients (54.0% men) with CVD risk factors. Multivariable Cox regression analysis was used to evaluate the associations of categorical renal function stages with all-cause mortality. Measures of performance in each equation assessed with respect to all-cause mortality were evaluated and compared to the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation by calculating the C-index, net reclassification index (NRI), and integrated discrimination index.

Results

Over a median follow-up of 8.9 years, the cumulative incidence of all-cause mortality was 9.4% (n = 112). After multivariable adjustment, the discriminative ability for all-cause mortality was significantly higher in the body surface area-adjusted Cockcroft-Gault (BSA-CG) formula than in the CKD-EPI equation (C-indices: 0.869 vs. 0.861, respectively, p = 0.037). NRI was significantly positive and favored the BSA-CG formula (0.54; 95% confidence interval: 0.35–0.64) compared to the CKD-EPI equation.

Conclusions

Our findings suggest that the BSA-CG equation may have the potential to slightly improve mortality prediction compared to the CKD-EPI equation in UAE nationals with vascular risk. Further large multicenter studies are warranted to confirm our findings.

Reassessment of kidney function equations in predicting long-term survival in cardiac surgery

BACKGROUND/OBJECTIVES

Chronic kidney disease (CKD) is a risk factor for long-term survival in cardiac surgery. The Cockcroft-Gault, Modification of Diet in Renal Disease (MDRD) study, CKD Epidemiology Collaboration (CKD-EPI), revised Lund-Malmö (LM), and full age spectrum equations are used to estimate glomerular filtration rates (eGFR), but each have advantages and disadvantages. Our objective was to determine which equation better predicts long-term survival.

METHODS

Data on 1492 consecutive patients who underwent isolated off-pump coronary artery bypass surgery between September 1996 and December 2008 were prospectively collected. Preoperative and postoperative eGFR were calculated using the five equations and compared using Cox regression analyses and time-dependent receiver operating characteristic (ROC) curves at 10 years.

RESULTS

In a Cox regression model after correction for significant predictors of long-term mortality, adjusted hazard ratios (HR) for one standard deviation increase in preoperative eGFR were 0.661 (P < .0001), 0.844 (P = .0166), 0.787 (P = .0002), 0.746 (P < .0001), and 0.717 (P < .0001) for the CG, MDRD, CKD-EPI, LM, and FAS equations, respectively. The areas under the time-dependent ROC curve at 10 years also showed that the CG formula has a better predictive value. Postoperative eGFR at discharge were also significant predictors of long-term mortality (HR = 0.603, P < .0001; HR = 0.725, P < .0001; HR = 0.688, P < .0001; HR = 0.673, P < .0001; HR = 0.632, P < .0001 for the CG, MDRD, CKD-EPI, LM, and FAS equations, respectively).

CONCLUSIONS

The CG formula was shown to better predict survival in cardiac surgery, though the FAS equation has a comparable prognostic value. Additionally, postoperative eGFR at discharge also predicted long-term survival.

Estimated glomerular filtration rate as one of the main predictors of in-hospital mortality in Egyptian patients with ST elevation myocardial infarction: a two-year retrospective study

Background

Renal dysfunction is one of the major causes of in-hospital mortality in STEMI patients. In this study, we evaluated the combined predictive value of eGFR by CKD-EPI equation and shock index for in-hospital mortality and other adverse clinical outcomes in Egyptian patients with STEMI.

Results

A total of 450 STEMI patients were divided into 2 groups according to their eGFR with a cutoff value of 60 ml/min/1.73 m² and compared as regards mortality, major bleeding, reinfarction, development of heart failure, stroke, and atrial fibrillation during the period of admission. Univariate analysis was performed to define significant factors that affected mortality; then, significant factors were subjected to a multivariate logistic regression.

Patients with eGFR < 60 ml/min/1.73 m² had higher rates of mortality (P  < 0.0005) and atrial fibrillation (P  =  .006) during the hospital admission. A multivariate logistic regression model showed the predictors of mortality were factors SI (OR = 28.56, 95% CI 8–101.97, P < 0.0001), cardiac troponin (OR = 2.89, 95% CI 1.08–7.77, P = 0.03), age (OR = 1.07, 95% CI 1.02–1.2, P = 0.002), and eGFR (OR = 0.98, 95% CI 0.96–0.99, P = 0.04).

Conclusions

Estimated GFR < 60 ml/min/1.73 m² in STEMI patients is associated with higher rate of mortality. Estimated GFR, age, shock index, and cardiac troponin were the most significant predictors of mortality in STEMI patients